AI engineering glossary · Evaluation metrics
What is NMI (normalised mutual information)?
Normalised mutual information (also called NMI): A clustering metric that measures how much knowing the cluster assignment tells you about the true class, using mutual information scaled to lie between 0 and 1. It works even if the number of clusters differs from the number of classes.
Normalised mutual information: an example
If clusters perfectly reproduce the true news categories, NMI = 1; if they are unrelated to the categories, NMI is near 0.
Related terms
More Evaluation metrics terms
Where you learn it
Normalised mutual information is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.